PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Directed evolution”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 415 records · Page 23Linked to original sources
PubMed2006

Mutant library construction in directed molecular evolution: casting a wider net.

Directed molecular evolution imitates the natural selection process in the laboratory to find mutant proteins with improved properties in the expected aspects by exploring the encoding sequence space. The success of directed molecular evolution experiment depends on the quality of artificially prepared mutant libraries and the availability of convenient high-throughput screening methods. Well-prepared libraries promise the possibility of obtaining desired mutants by screening a library containing a relatively small number of mutants. This article summarizes and reviews the currently available methodologies widely used in directed evolution practices in the hope of providing a general reference for library construction. These methods include error-prone polymerase chain reaction (epPCR), oligonucleotide-based mutagenesis, and genetic recombination exemplified by DNA shuffling and its derivatives. Another designed method is also discussed, in which B-lymphocytes are fooled to mutate nonantibody foreign proteins through somatic hypermutation (SHM).

Animals↗
PubMed2001

Directed molecular evolution in plant improvement.

Directed molecular evolution is a powerful tool to evolve genes with commercial applications. Its most common application is to evolve enzymes with improved kinetics, altered substrate or product specificities, or improved function in different cellular environments. The technique is beginning to be applied to goals relevant to agriculture. Recent examples include the generation of novel carotenoids, enhanced herbicide detoxification, and the improvement of insect resistance genes.

Bacillus thuringiensis↗
PubMed2004

Narrowing substrate specificity in a directly evolved enzyme: the A293D mutant of aspartate aminotransferase.

Several mutant Escherichia coli aspartate aminotransferases (eAATases) have been characterized in the attempt to evolve or rationally redesign the substrate specificity of eAATase into that of E. coli tyrosine aminotransferase (eTATase). These include HEX (designed), HEX + A293D (design followed by directed evolution), and SRHEPT (directed evolution). The A293D mutation realized from directed evolution of HEX is here imported into the SRHEPT platform by site-directed mutagenesis, resulting in an enzyme (SRHEPT + A293D) with nearly the same ratio of k(cat)/K(m)(Phe) to k(cat)/K(m)(Asp) as that of wild-type eTATase. The A293D substitution is an important specificity determinant; it selectively disfavors interactions with dicarboxylic substrates and inhibitors compared to aromatic ones. Context dependence analysis is generalized to provide quantitative comparisons of a common substitution in two or more different protein scaffolds. High-resolution crystal structures of ligand complexes of HEX + A293D, SRHEPT, and SRHEPT + A293D were determined. We find that in both SRHEPT + A293D and HEX + A293D, the additional mutation holds the Arg 292 side chain away from the active site to allow increased specificity for phenylalanine over aspartate. The resulting movement of Arg 292 allows greater flexibility of the small domain in HEX + A293D. While HEX is always in the closed conformation, HEX + A293D is observed in both the closed and a novel open conformation, allowing for more rapid product release.

Alanine↗
PubMed2001

Advances in directed protein evolution by recursive genetic recombination: applications to therapeutic proteins.

Recent developments in directed evolution technologies combined with innovations in robotics and screening methods have revolutionized protein engineering. These methods are being applied broadly to many fields of biotechnology, including chemical engineering, agriculture and human therapeutics. More specifically, DNA shuffling and other methods of genetic recombination and mutation have resulted in the improvement of proteins of therapeutic interest. Optimizing genetic diversity and fitness through iterative directed evolution will accelerate improvements in engineered protein therapeutics.

Antibodies↗
PubMed2006

Recent advances in biocatalysis by directed enzyme evolution.

Naturally occurring enzymes are remarkable biocatalysts with numerous potential applications in industry and medicine. However, many of their catalyst properties often need to be further tailored to meet the specific requirements of a given application. Within this context, directed evolution has emerged over the past decade as a powerful tool for engineering enzymes with new or improved functions. This review summarizes recent advances in applying directed evolution approaches to alter various enzyme properties such as activity, selectivity (enantio- and regio-), substrate specificity, stability, and solubility. Special attention will be paid to the creation of novel enzyme activities and products by directed evolution.

Bacteria↗
PubMed2006

Antagonists to human and mouse vascular endothelial growth factor receptor 2 generated by directed protein evolution in vitro.

Using directed in vitro protein evolution, we generated proteins that bound and antagonized the function of vascular endothelial growth factor receptor 2 (VEGFR2). Binders to human VEGFR2 (KDR) with 10-200 nM affinities were selected by using mRNA display from a library (10(13) variants) based on the tenth human fibronectin type III domain (10Fn3) scaffold. Subsequently, a single KDR binding clone (K(d) = 11 nM) was subjected to affinity maturation. This yielded improved KDR binding molecules with affinities ranging from 0.06 to 2 nM. Molecules with dual binding specificities (human/mouse) were also isolated by using both KDR and Flk-1 (mouse VEGFR2) as targets in selection. Proteins encoded by the selected clones bound VEGFR2-expressing cells and inhibited their VEGF-dependent proliferation. Our results demonstrate the potential of these inhibitors in the development of anti-angiogenesis therapeutics.

Amino Acid Sequence↗
PubMed1998

Improving hydrolases for organic synthesis.

Improving hydrolases by site-directed mutagenesis continues to be important, but an alternative method - directed evolution - also gains favor. Directed evolution combines random mutagenesis with screening or selection for the desired property. Directed evolution is especially useful for cases like solvent tolerance or thermostability where current theories are inadequate to predict which structural changes will give improvement. Researchers have also recently made significant progress on several practical problems: how to maintain the high activity of proteases and lipases in nonpolar organic solvents, how to resolve amines, and how to efficiently recycle the unwanted enantiomer in kinetic resolutions. Besides the lipases and proteases, researchers are also developing new hydrolases, notably dehalogenases and epoxide hydrolases.

Directed Molecular Evolution↗
PubMed2006

The diversity challenge in directed protein evolution.

Over the past decade, we have witnessed a bloom in the field of evolutive protein engineering which is fueled by advances in molecular biology techniques and high-throughput screening technology. Directed protein evolution is a powerful algorithm using iterative cycles of random mutagenesis and screening for tailoring protein properties to our needs in industrial applications and for elucidating proteins' structure function relationships. This review summarizes, categorizes and discusses advantages and disadvantages of random mutagenesis methods used for generating genetic diversity. These random mutagenesis methods have been classified into four main categories depending on the method employed for nucleotide substitutions: enzyme based methods (Category I), synthetic chemistry based methods (Category II), whole cell methods (Category III) and combined methods (Category I-II, I-III and II-III). The basic principle of each method is discussed and varied mutagenic conditions are summarized in Tables and compared (benchmarked) to each other in terms of: mutational bias, controllable mutation frequency, ability to generate consecutive nucleotide substitutions and subset diversity, dependency on gene length, technical simplicity/robustness and cost-effectiveness. The latter comparison shows how highly-biased and limited current diversity creating methods are. Based on these limitations, strategies for generating diverse mutant libraries are proposed and discussed (RaMuS-Flowchart; KISS principle). We hope that this review provides, especially for researchers just entering the field of directed evolution, a guide for developing successful directed evolution strategies by selecting complementary methods for generating diverse mutant libraries.

Base Composition↗
PubMed2004

Directed enzyme evolution guided by multidimensional analysis of substrate-activity space.

The directed evolution of protein function frequently involves identification of mutants with improved properties from a population of variants obtained by mutagenesis. The selection of clones to parent the subsequent generation is crucial to the continued creation of superior progeny. In the present study, multivariate analysis guided the evolution of human glutathione transferase (GST) T1-1 to 65-fold enhanced alkyltransferase activity. Six alternative substrates monitored the substrate-activity space that characterized a mutant library of enzymes, obtained by recombination of DNA and heterologous expression in Escherichia coli. A subset of mutants was identified by their proximity in the targeted region of six-dimensional factor space. DNA from these mutants was recombined to create a new generation of GST variants from which an improved enzyme was isolated. The multidimensional cluster analysis is applicable to quantitative properties in any population of molecules undergoing evolution and can guide the tailoring of proteins, nucleic acids and other chemical structures to novel and improved functions.

Alkyl and Aryl Transferases↗
PubMed2005

Directed molecular evolution by machine learning and the influence of nonlinear interactions.

Alternative search strategies for the directed evolution of proteins are presented and compared with each other. In particular, two different machine learning strategies based on partial least-squares regression are developed: the first contains only linear terms that represent a given residue's independent contribution to fitness, the second contains additional nonlinear terms to account for potential epistatic coupling between residues. The nonlinear modeling strategy is further divided into two types, one that contains all possible nonlinear terms and another that makes use of a genetic algorithm to select a subset of important interaction terms. The performance of each modeling type as a function of training set size is analysed. Simulated molecular evolution on a synthetic protein landscape shows the use of machine learning techniques to guide library design can be a powerful addition to library generation methods such as DNA shuffling.

Algorithms↗
PubMed1998

Hydrogen evolution by direct electron transfer from photosystem I to hydrogenases.

H2 evolution by direct electron transfer from the dithionite-reduced photosystem I (PSI) complex to both hydrogenase I and hydrogenase II from Clostridium pasteurianum was observed. Evidence indicates that the electron carriers on PSI that transfer electrons to hydrogenase in this system are the FA/FB iron-sulfur clusters on the PsaC polypeptide, the terminal bound electron acceptors in PSI. Light-dependent H2 evolution was also observed, using high potential electron donors to PSI, from a combination of hydrogenase I and either solubilized purified PSI or thylakoids. Mediators capable of transferring electrons from the PSI complex to hydrogenase were not necessary for H2 evolution, indicating again that the mechanism of H2 evolution is direct electron transfer from PSI to hydrogenase, and that this can occur with light-reduced as well as chemically reduced PSI, and with PSI in thylakoids as well as the solubilized complex. Light-dependent H2 evolution was also observed from a mixture of thylakoids and the oxygen-resistant hydrogenase of Rhodococcus sp. MR11. These results suggest that direct electron transfer from PSI to hydrogenase could be engineered to occur in vivo in a photosynthetic organism to create an organism that would efficiently produce H2 from H2O.

Clostridium↗
PubMed2000

A novel biotinylated suicide inhibitor for directed molecular evolution of lipolytic enzymes.

A bifunctional activity label (8) for directed molecular evolution of lipolytic enzymes has been designed and synthesized. The structure is composed of a 4-nitrophenyl activated phosphonate, that is, a suicide substrate of lipases/esterases, connected to a biotin moiety through a spacer containing a disulfide bridge. The phosphonate (3) was prepared by Michaelis-Arbuzov reaction of trimethylsilyl-protected 11-bromoundecanol (2) with triethyl phosphite. The deprotected omega-hydroxyalkylphosphonate (4) was transformed into an active N-hydroxysuccinimide carbonate (5) followed by 4-nitrophenyl activation of the phosphonate using standard procedures. The biotinylated phosphonate inhibitor (8) was then synthesised by coupling the phosphonate inhibitor (6) to the epsilon-amino-caproic acid and cystamine containing biotinyl spacer (7). The function of all relevant groups of the final activity label (8) (biotin-label, cleavable disulfide bridge, phosphonate-inhibitor) have been successfully tested with the commercial lipase Lipolase (Novo Nordisk). Hence, a tool for directed molecular evolution of lipolytic enzymes has been developed.

Affinity Labels↗
PubMed2005

A statistical analysis of random mutagenesis methods used for directed protein evolution.

We have developed a statistical method named MAP (mutagenesis assistant program) to equip protein engineers with a tool to develop promising directed evolution strategies by comparing 19 mutagenesis methods. Instead of conventional transition/transversion bias indicators as benchmarks for comparison, we propose to use three indicators based on the subset of amino acid substitutions generated on the protein level: (1) protein structure indicator; (2) amino acid diversity indicator with a codon diversity coefficient; and (3) chemical diversity indicator. A MAP analysis for a single nucleotide substitution was performed for four genes: (1) heme domain of cytochrome P450 BM-3 from Bacillus megaterium (EC 1.14.14.1); (2) glucose oxidase from Aspergillus niger (EC 1.1.3.4); (3) arylesterase from Pseudomonas fluorescens (EC 3.1.1.2); and (4) alcohol dehydrogenase from Saccharomyces cerevisiae (EC 1.1.1.1). Based on the MAP analysis of these four genes, 19 mutagenesis methods have been evaluated and criteria for an ideal mutagenesis method have been proposed. The statistical analysis showed that existing gene mutagenesis methods are limited and highly biased. An average amino acid substitution per residue of only 3.15-7.4 can be achieved with current random mutagenesis methods. For the four investigated gene sequences, an average fraction of amino acid substitutions of 0.5-7% results in stop codons and 4.5-23.9% in glycine or proline residues. An average fraction of 16.2-44.2% of the amino acid substitutions are preserved, and 45.6% (epPCR method) are chemically different. The diversity remains low even when applying a non-biased method: an average of seven amino acid substitutions per residue, 2.9-4.7% stop codons, 11.1-16% glycine/proline residues, 21-25.8% preserved amino acids, and 55.5% are amino acids with chemically different side-chains. Statistical information for each mutagenesis method can further be used to investigate the mutational spectra in protein regions regarded as important for the property of interest.

Amino Acid Substitution↗
PubMed2006

Making glucose oxidase fit for biofuel cell applications by directed protein evolution.

Progress in miniature chip-design raises demands for implantable power sources in health care applications such as continuous glucose monitoring of diabetic patients. Pioneered by Adam Heller, miniaturized enzymatic biofuel cells (mBCs) convert blood sugars into electrical energy by employing for example glucose oxidase (GOx) on the anode and bilirubin oxidase on the cathode. To match application demands it is crucial to increase lifetime and power output of mBCs. The power output has been limited by the performance of GOx on the anode. We developed a glucose oxidase detection assay (GODA) as medium-throughput screening system for improving GOx properties by directed protein evolution. GODA is a reaction product detection assay based on coupled enzymatic reactions leading to NADPH formation which is recorded at 340 nm. The main advantage of the assay is that it detects the production of d-gluconolactone instead of the side-product hydrogen peroxide and enables to improve bioelectrochemical properties of GOx. For validating the screening system, a mutagenic library of GOx from Aspergillus niger (EC 1.1.3.4) was generated and screened for improved activity using Saccharomyces cerevisiae as host. Directed evolution resulted in a GOx mutant I115V with 1.4-1.5-fold improved activity for beta-d-glucose (Vmax from 7.94 to 10.81 micromol min(-1) mg(-1); Km approximately 19-21 mM) and oxygen consumption kinetics correlate well [Vmax (O2) from 5.94 to 8.34 micromol min(-1) mg(-1); Km (O2) from 700 to 474 microM]. The developed mutagenic protocol and GODA represent a proof-of-principle that GOx can be evolved by directed evolution in S. cerevisiae for putative use in biofuel cells.

Bioelectric Energy Sources↗
PubMed2001

Computational method to reduce the search space for directed protein evolution.

We introduce a computational method to optimize the in vitro evolution of proteins. Simulating evolution with a simple model that statistically describes the fitness landscape, we find that beneficial mutations tend to occur at amino acid positions that are tolerant to substitutions, in the limit of small libraries and low mutation rates. We transform this observation into a design strategy by applying mean-field theory to a structure-based computational model to calculate each residue's structural tolerance. Thermostabilizing and activity-increasing mutations accumulated during the experimental directed evolution of subtilisin E and T4 lysozyme are strongly directed to sites identified by using this computational approach. This method can be used to predict positions where mutations are likely to lead to improvement of specific protein properties.

Bacteriophage T4↗
PubMed2000

Directed molecular evolution of cytochrome c peroxidase.

Cytochrome c peroxidase (CCP) from Saccharomyces cerevisiae was subjected to directed molecular evolution to generate mutants with increased activity against the classical peroxidase substrate guaiacol, thus changing the substrate specificity of CCP from the protein cytochrome c to a small organic molecule. After three rounds of DNA shuffling and screening, mutants were isolated which possessed a 300-fold increased activity against guaiacol and an up to 1000-fold increased specificity for this substrate relative to that for the natural substrate. In all of the selected mutants, the distal arginine (Arg48), which is fully conserved in the superfamily of peroxidases, was mutated to histidine, showing that this mutation plays a key role in the significant increase in activity against phenolic substrates. The results suggest that, in addition to stabilizing the reactive intermediate compound I, the distal arginine plays an important role as a gatekeeper in the active site of CCP, controlling the access to the ferryl oxygen and the distal histidine. Other isolated mutations increase the general reactivity of the peroxidase or increase the intracellular concentration of the active holo form, allowing their selection under the employed screening conditions. The results illustrate the ability of directed molecular evolution technologies to deliver solutions to biochemical problems that would not be readily predicted by rational design.

Alanine↗
PubMed2000

A classification of possible routes of Darwinian evolution.

A classification of four possible routes of Darwinian evolution is presented. These are serial direct evolution, parallel direct evolution, elimination of functional redundancy, and adoption from a different function. This classification provides a conceptual framework within which to investigate the accessibility by Darwinian evolution of complex biological structures.

Animals↗